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August 11, 2025Mind & Language0 citationsOpen Access

Against the Manhattan project framing of AI alignment

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SFSimon FriederichLDLeonard Dung

Key Points

  • Current framing of the alignment problem promotes a binary view of ai, which may not reflect its true complexity.
  • Assumptions of operationalizability and realistic achievement in ai alignment can misguide societal decisions on technology.
  • This framing may lead to accelerated development and deployment of autonomous agents without addressing ethical implications.
  • Critical discussion of the alignment problem calls for a re-evaluation of the societal impacts of ai technology.

Abstract

In response to the worry that autonomous generally intelligent artificial agents may at some point take over control of human affairs a common suggestion is that we should “solve the alignment problem” for such agents. We show that current discourse around this suggestion often uses a particular framing of artificial intelligence (AI) alignment as binary, a natural kind, mainly a technical‐scientific problem, realistically achievable, or clearly operationalizable. Each of these assumptions may not actually be true. We further argue that this “Manhattan project framing” of AI alignment may bias societal discourse and decision‐making towards faster AI development and deployment than is responsible.

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Cite This Study

Friederich et al. (2025) studied this question.

synapsesocial.com/papers/68a360ce0a429f7973328b6chttps://doi.org/10.1111/mila.12548
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